3D non-stationary wideband circular tunnel channel models for high-speed train wireless communication systems

Yu Liu, Cheng-Xiang Wang, Carlos Lopez, Xiaohu Ge

Research output: Contribution to journalArticle

Abstract

This paper proposes three-dimensional (3D) non-stationary wideband circular geometry-based stochastic models (GBSMs) for high-speed train (HST) tunnel scenarios. Considering single-bounced (SB) and multiple-bounced (MB) components from the tunnel’s internal surfaces, a theoretical channel model is first established. Then, the corresponding simulation model is developed using the method of equal volume (MEV) to calculate discrete angular parameters. Based on the proposed 3D GBSMs, important time-variant statistical properties are investigated, such as the temporal autocorrelation function (ACF), spatial cross-correlation function (CCF), and space-Doppler (SD) power spectrum density (PSD). Results indicate that all statistical properties of the simulation model, verified by simulation results, can match well those of the theoretical model. The statistical properties of the proposed 3D GBSMs are further validated by relevant measurement data, demonstrating the flexibility and utility of our proposed tunnel GBSMs.

Original languageEnglish
Article number082304
JournalScience China Information Sciences
Volume60
Issue number8
Early online date13 Mar 2017
DOIs
Publication statusPublished - Aug 2017

Keywords

  • channel measurement
  • GBSM
  • non-stationary
  • statistical properties
  • tunnel channel model

ASJC Scopus subject areas

  • Computer Science(all)

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